Multivariate evaluation method for the detection of pest infestations on plants via VOC analysis using gas chromatography mass spectrometry.

ABSTRACT: Volatile organic compounds (VOCs) play an important role in the defense against pest infestations on plants. The analysis of these VOCs using gas chromatography mass spectrometry (GC-MS) enables the detection of pests by analyzing the VOC composition (VOC profiles) for specific patterns and markers. The analysis of such complex datasets with high biovariability poses a particular challenge. For this reason, a multivariate evaluation method based on a self-written Python script, using principal component analysis (PCA) and linear discriminant analysis (LDA), was developed and tested for functionality using a dataset, which has been evaluated manually and has identified five specific markers (2,4-dimethyl-1-heptene, 3-carene, α-longipinene, cyclosativene, and copaene) for Anoplophora glabrip

SUBMITTER: Vermeeren S 

PROVIDER: S-EPMC12267415 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature